IT Policy Analysis using Keyword Network Analysis: Pakistan Case Study

Pakistan's socio-economic landscape through digital technology, with digital infrastructure as the foundation for economic growth, social inclusion, and governance reform. Keyword network analysis was employed to analyze Pakistan's digital policy, and based on this, cognitive map analysis was conducted to analyze policy implications and policy directions. A keyword network analysis using the R program identified key themes such as “digital transformation,” “e-governance,” “AI,” and “blockchain” to highlight their importance within the policy framework, which focuses on innovation, global competitiveness, and inclusion, integrates AI, blockchain, and 5G, and prioritizes gender equality. The network analysis shows a 'Digital Pakistan Policy' as a central hub connecting key areas such as e-governance, fintech, and digital inclusion, supported by elements such as ICT infrastructure, cybersecurity, and smart cities. Key nodes such as digital literacy, youth empowerment, and innovation also highlight efforts to bridge the digital divide and foster entrepreneurship as important policy variables. The cognitive map analysis also identifies processes such as the digital infrastructure cycle, IT industry promotion, and digital innovation cycle to achieve the goals of Pakistan's digital policy. The policy has the potential to transform Pakistan into a leading player in the global digital economy, bringing about widespread benefits for its citizens and positioning the country for long-term prosperity.

Authors

Publication Details

Journal
Dongguk Business Research Institute
Published
2025-02-28
DOI
https://doi.org/10.55685/bcr.2025.47.1.21
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IT Policy Analysis using Keyword Network Analysis: Pakistan Case Study

Jungmann Lee, Rahat Naseem Rahat Naseem
Dongguk Business Research Institute
Advanced Text Analysis Techniques
article

IT Policy Analysis using Keyword Network Analysis: Pakistan Case Study

Jungmann Lee, Rahat Naseem Rahat Naseem
article en

Abstract

Pakistan's socio-economic landscape through digital technology, with digital infrastructure as the foundation for economic growth, social inclusion, and governance reform. Keyword network analysis was employed to analyze Pakistan's digital policy, and based on this, cognitive map analysis was conducted to analyze policy implications and policy directions. A keyword network analysis using the R program identified key themes such as “digital transformation,” “e-governance,” “AI,” and “blockchain” to highlight their importance within the policy framework, which focuses on innovation, global competitiveness, and inclusion, integrates AI, blockchain, and 5G, and prioritizes gender equality. The network analysis shows a 'Digital Pakistan Policy' as a central hub connecting key areas such as e-governance, fintech, and digital inclusion, supported by elements such as ICT infrastructure, cybersecurity, and smart cities. Key nodes such as digital literacy, youth empowerment, and innovation also highlight efforts to bridge the digital divide and foster entrepreneurship as important policy variables. The cognitive map analysis also identifies processes such as the digital infrastructure cycle, IT industry promotion, and digital innovation cycle to achieve the goals of Pakistan's digital policy. The policy has the potential to transform Pakistan into a leading player in the global digital economy, bringing about widespread benefits for its citizens and positioning the country for long-term prosperity.

Dongguk Business Research InstituteVol. 47(1)
Openalex Percentile: Top 98%
Advanced Text Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.